Research map / Probabilistic and scientific modeling / Causal discovery
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use CVMIC rather than log-likelihood scoring (ablation) | HCM · Tetrad synthetic, 50 nodes, degree 3 | F1: 0.444 -> 0.619 | Helped |
| use CVMIC rather than log-likelihood scoring (ablation) | HCM · Tetrad synthetic, 100 nodes, degree 3 | F1: 0.553 -> 0.652 | Helped |
| use CVMIC rather than log-likelihood scoring (ablation) | HCM · Tetrad synthetic, 50 nodes, degree 10 | F1: 0.370 -> 0.388 | Helped |
| use CVMIC rather than log-likelihood scoring (ablation) | HCM · Tetrad synthetic, 100 nodes, degree 10 | F1: 0.341 -> 0.474 | Helped |
| use CVMIC rather than log-likelihood scoring (ablation) | HCM · Tetrad synthetic, 50 nodes, degree 20 | F1: 0.179 -> 0.258 | Helped |
| use CVMIC rather than log-likelihood scoring (ablation) | HCM · Tetrad synthetic, 100 nodes, degree 20 | F1: 0.296 -> 0.448 | Helped |
| use MRCIT rather than RCIT for conditional independence tests (ablation) | HCM · Tetrad synthetic, 50 nodes, degree 3 | F1: 0.563 -> 0.619 | Helped |
| use MRCIT rather than RCIT for conditional independence tests (ablation) | HCM · Tetrad synthetic, 100 nodes, degree 3 | F1: 0.421 -> 0.652 | Helped |
| use MRCIT rather than RCIT for conditional independence tests (ablation) | HCM · Tetrad synthetic, 50 nodes, degree 10 | F1: 0.208 -> 0.388 | Helped |
| use MRCIT rather than RCIT for conditional independence tests (ablation) | HCM · Tetrad synthetic, 100 nodes, degree 10 | F1: 0.336 -> 0.474 | Helped |
| use MRCIT rather than RCIT for conditional independence tests (ablation) | HCM · Tetrad synthetic, 50 nodes, degree 20 | F1: 0.188 -> 0.258 | Helped |
| use MRCIT rather than RCIT for conditional independence tests (ablation) | HCM · Tetrad synthetic, 100 nodes, degree 20 | F1: 0.260 -> 0.448 | Helped |
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